Computational business analytics /
Das, Subrata Kumar
Computational business analytics / Subrata Das Machine Analytics, Inc. Belmont, Massachusetts, USA. - Boca Raton : CRC Press, Taylor & Francis Group, c2014 - xxiv, 490 pages : illustrations ; 24 cm. - Chapman & Hall/CRC data mining and knowledge discovery series . - Chapman & Hall/CRC data mining and knowledge discovery series. .
Includes bibliographical references (pages 463-477) and index.
Chapter 1. Analytics background and architectures -- chapter 2. Mathematical and statistical preliminaries -- chapter 3. Statistics for descriptive analytics -- chapter 4. Bayesian probability and inference -- chapter 5. Inferential statistics and predictive analytics -- chapter 6. Artificial intelligence for symbolic analytics -- chapter 7. Probabilistic graphical modeling -- chapter 8. Decision support and prescriptive analytics -- chapter 9. Time series modeling and forecasting -- chapter 10. Monte Carlo simulation -- chapter 11. Cluster analysis and segmentation -- chapter 12. Machine learning for analytics models -- chapter 13. Unstructured data and text analytics -- chapter 14. Semantic web -- chapter 15. Analytics tools -- chapter 16. Analytics case studies.
1439890706 9781439890707
2013478678
GBB257349 bnb
016629215 Uk 016103202 Uk
016629215 Uk 016103202 Uk
016629215 Uk 016103202 Uk
016629215 Uk 016103202 Uk
016629215 Uk 016103202 Uk
016629215 Uk 016103202 Uk
016629215 Uk 016103202 Uk
016629215 Uk 016103202 Uk
HD38.7 / .D37 2014
658.472
Computational business analytics / Subrata Das Machine Analytics, Inc. Belmont, Massachusetts, USA. - Boca Raton : CRC Press, Taylor & Francis Group, c2014 - xxiv, 490 pages : illustrations ; 24 cm. - Chapman & Hall/CRC data mining and knowledge discovery series . - Chapman & Hall/CRC data mining and knowledge discovery series. .
Includes bibliographical references (pages 463-477) and index.
Chapter 1. Analytics background and architectures -- chapter 2. Mathematical and statistical preliminaries -- chapter 3. Statistics for descriptive analytics -- chapter 4. Bayesian probability and inference -- chapter 5. Inferential statistics and predictive analytics -- chapter 6. Artificial intelligence for symbolic analytics -- chapter 7. Probabilistic graphical modeling -- chapter 8. Decision support and prescriptive analytics -- chapter 9. Time series modeling and forecasting -- chapter 10. Monte Carlo simulation -- chapter 11. Cluster analysis and segmentation -- chapter 12. Machine learning for analytics models -- chapter 13. Unstructured data and text analytics -- chapter 14. Semantic web -- chapter 15. Analytics tools -- chapter 16. Analytics case studies.
1439890706 9781439890707
2013478678
GBB257349 bnb
016629215 Uk 016103202 Uk
016629215 Uk 016103202 Uk
016629215 Uk 016103202 Uk
016629215 Uk 016103202 Uk
016629215 Uk 016103202 Uk
016629215 Uk 016103202 Uk
016629215 Uk 016103202 Uk
016629215 Uk 016103202 Uk
HD38.7 / .D37 2014
658.472